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質問 # 302
A CloudOps engineer configures an application to run on Amazon EC2 instances behind an Application Load Balancer (ALB) in a simple scaling Auto Scaling group with the default settings. The Auto Scaling group is configured to use the RequestCountPerTarget metric for scaling. The CloudOps engineer notices that the RequestCountPerTarget metric exceeded the specified limit twice in 180 seconds.
How will the number of EC2 instances in this Auto Scaling group be affected in this scenario?
正解：A
解説：
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Doocuments:
With simple scaling policies, an Auto Scaling group performs one scaling activity when the alarm condition is met, then observes a default cooldown period (300 seconds) before another scaling activity of the same type can begin. CloudOps guidance explains that cooldown prevents rapid successive scale-outs by allowing time for the newly launched instance(s) to register with the load balancer and impact the metric. Even if the alarm breaches multiple times during the cooldown window, the group waits until the cooldown completes before evaluating and acting again. In this case, although RequestCountPerTarget exceeded the threshold twice within 180 seconds, the group will launch a single instance and then wait for cooldown before any additional scale-out can occur. Options A, C, and D do not reflect the behavior of simple scaling with cooldowns; A describes step/target-tracking-like behavior, and C/D are not Auto Scaling mechanics.
References (AWS CloudOps Documents / Study Guide):
* Amazon EC2 Auto Scaling - Simple Scaling Policies and Cooldown (User Guide)
* Elastic Load Balancing Metrics - ALB RequestCountPerTarget (CloudWatch Metrics)
* AWS Well-Architected Framework - Performance Efficiency & Operational Excellence
質問 # 303
A CloudOps engineer must manage the security of an AWS account. Recently, an IAM user's access key was mistakenly uploaded to a public code repository. The engineer must identify everything that was changed using this compromised key.
How should the CloudOps engineer meet these requirements?
正解：D
解説：
According to the AWS Cloud Operations and Security documentation, AWS CloudTrail is the authoritative service for recording API activity across all AWS services within an account.
When an access key is compromised, CloudTrail logs all API requests made using that key, including details such as:
* The user identity (access key ID) that made the request,
* The service, operation, resource, and timestamp affected, and
* The source IP address and region of the request.
By searching the CloudTrail event history for the specific access key ID, the CloudOps engineer can identify every action performed by that key during the suspected breach window.
Other options are incorrect:
* EventBridge (A) is event-driven, not historical.
* CloudWatch Logs (B) monitors system logs, not AWS API activity.
* VPC Flow Logs (D) track network-level traffic, not API calls.
Therefore, the correct solution is Option C - using AWS CloudTrail event history to audit and trace all actions executed via the compromised access key.
Reference: AWS Cloud Operations & Security Management Guide - Investigating Compromised Access Keys Using AWS CloudTrail
質問 # 304
A CloudOps engineer has an Amazon S3 bucket and a new AWS Lambda function. The CloudOps engineer tries to configure a new event notification from the S3 bucket to the Lambda function by using the Lambda console. The configuration fails and returns the following error: "Unable to validate the following destination configurations." The engineer confirms that the new Lambda function and the function's IAM role are correctly configured.
What is the cause of this error?
正解：C
解説：
The important clue is that the new Lambda function and its IAM role are already correctly configured. When S3 validates event notification configurations, it can validate not only the newly added destination but also existing destinations on the bucket. If the bucket already has a stale notification that points to a deleted Lambda function, deleted queue, deleted topic, or destination without the correct resource policy, the validation can fail with "Unable to validate the following destination configurations." Option C would be plausible if the new Lambda permission were missing, but the question rules out a problem with the new function configuration. Option A is not the best cause because the error refers to destination validation, not a quota breach. Therefore, the stale existing event notification is the likely root cause.
質問 # 305
To comply with regulations, a CloudOps engineer needs to back up an Amazon EC2 Amazon Machine Image (AMI) to an Amazon S3 bucket. If the CloudOps engineer restores the AMI from the bucket in the future, the AMI must use the same AMI image ID as the original AMI.
Which solution will meet this requirement?
正解：D
解説：
Because this is the only AWS-supported solution that allows an AMI to be backed up to Amazon S3 and later restored while preserving the original AMI ID. This capability is essential for regulatory and compliance requirements where immutable identifiers must be retained.
According to AWS CloudOps documentation for Amazon EC2 AMI lifecycle management, the AMI store and restore feature is specifically designed for long-term retention, audit, and compliance scenarios. When an AMI is stored using a store image task, AWS packages the AMI's configuration, metadata, and associated snapshots and saves them as encrypted objects in an Amazon S3 bucket. When the AMI is restored, AWS explicitly states that the restored AMI retains the same AMI ID as the original image, ensuring continuity for compliance tracking and operational dependencies.
質問 # 306
A SysOps administrator monitors and maintains the availability of resources in an AWS environment. The SysOps administrator notices that the CPU utilization of an Amazon EC2 instance that runs web server software peaks above 80% at various times during each day. The CPU spikes correlate with peak daily loads.
The high CPU load has resulted in performance issues for customers.
The SysOps administrator needs to resolve the system performance issue without causing any service disruptions. Which solution will meet these requirements?
正解：A
解説：
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Documents:
The requirement is to fix performance degradation from predictable peak CPU load without service disruptions. The most reliable and operationally standard approach is horizontal scaling with an Auto Scaling group driven by CloudWatch metrics/alarms (or target tracking). Launching additional instances and distributing traffic (typically behind a load balancer) increases capacity while keeping existing instances serving requests-no reboot or stop/start required.
Option D meets the requirement because Auto Scaling can add capacity when CPU exceeds a threshold and remove capacity when demand falls. This improves performance during peak periods and maintains availability. It is also operationally efficient: scaling actions are automated, consistent, and can be tuned with cooldowns/health checks.
Options A and C describe vertical scaling (instance resize). Resizing an EC2 instance type generally requires stopping the instance, changing the type, and starting it again-this is disruptive for a single-instance web server and often causes downtime. Option B (restarting the application) directly introduces disruption and does not address underlying capacity constraints; it can also worsen customer impact during peaks.
References:
Amazon EC2 Auto Scaling User Guide - Scaling policies and CloudWatch integration Amazon CloudWatch User Guide - Alarms triggering Auto Scaling actions AWS Well-Architected Framework - Performance Efficiency and Reliability guidance
質問 # 307
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